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View Code? Open in Web Editor NEW[ICCV 2021] Official PyTorch implementation for "D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations"
[ICCV 2021] Official PyTorch implementation for "D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations"
File "train.py", line 10
from pdmi import pDMI
ModuleNotFoundError: No module named 'pdmi'
Thanks for your wonderful work. When would you release your code?
Hello, your work is wonderful and interesting. I am so interested in your implementation. Would you release your source code for studying? Thanks a lot !!!
Hello, when I run the release code, I met the following error:
Iteration: 500, Loss: 0.059, LDis: 0.059, LDS: 0.000, LDV: 0.000
Testing test data point 0 of 212
Testing test data point 100 of 212
Testing test data point 200 of 212
Traceback (most recent call last):
File "main.py", line 46, in <module>
acc = test(itr, dataset, args, model, logger, device)
File "/home/xxxx/Projects/_Reproduce/D2-Net-main/test.py", line 58, in test
dmap, iou = dmAP(tcam_stack, dataset.path_to_annotations, args.activity_net, valid_id=dataset.lst_valid)
File "/home/xxxx/Projects/_Reproduce/D2-Net-main/detectionMAP.py", line 324, in getDetectionMAP
detections, gtsegments, temporal_labels, duration = getDetections(predictions, annotation_path, activity_net, valid_id)
File "/home/xxxx/Projects/_Reproduce/D2-Net-main/detectionMAP.py", line 89, in getDetections
gtseg = np.load('Thumos14reduced-Annotations/test_gt_segments.npy',allow_pickle=True)
File "/home/xxxx/anaconda3/envs/co2/lib/python3.6/site-packages/numpy/lib/npyio.py", line 428, in load
fid = open(os_fspath(file), "rb")
FileNotFoundError: [Errno 2] No such file or directory: 'Thumos14reduced-Annotations/test_gt_segments.npy'
Could you help me?
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